Run
23392

Run 23392

Task 6 (Supervised Classification) letter Uploaded 24-06-2014 by Joaquin Vanschoren
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Flow

weka.END_ND_J48(1)Lin Dong, Eibe Frank, Stefan Kramer: Ensembles of Balanced Nested Dichotomies for Multi-class Problems. In: PKDD, 84-95, 2005. Eibe Frank, Stefan Kramer: Ensembles of nested dichotomies for multi-class problems. In: Twenty-first International Conference on Machine Learning, 2004.
weka.END_ND_J48(1)_I10
weka.END_ND_J48(1)_S1
weka.END_ND_J48(1)_Wweka.classifiers.meta.nestedDichotomies.ND
weka.J48(1)_C0.25
weka.J48(1)_M2
weka.ND_J48(1)_S1
weka.ND_J48(1)_Wweka.classifiers.trees.J48

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9984
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9493
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9472
Cross-validation details (10-fold Crossvalidation)
KB relative information score
18380.1856
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0132
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.074
Cross-validation details (10-fold Crossvalidation)
Number of instances
20000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9497
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9493
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.6998
Cross-validation details (10-fold Crossvalidation)
Recall
0.9493
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1779
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1923
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0645
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3354
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
941.8509[560.66883299690021010.9942233373424477.6431293423355908.95975824819551750.9885882679507]